AI Embeddings
Vector representations that capture the semantic meaning of text, images, or documents.
Definition
AI Embeddings are numerical vector representations that capture the semantic meaning of content—whether text, images, or documents—in a form that AI systems can process. In the AEC context, embeddings enable semantic search, similar document retrieval, and content clustering. Domain-specific embeddings trained on AEC data understand industry terminology and concepts, providing more relevant results than general-purpose embedding models.
Examples
Creating embeddings of all project specifications for semantic search
Finding similar drawings by comparing their embedding vectors
Clustering project documents by topic using embedding similarity
Related Use Cases
Firmwide Detail Search
RFI Answer Assistant
Related Terms
Related Keywords
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